• Application Deadline:
• Position: Commercial Analyst Engineer



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 2 - 4 years



• Location Lagos




• Job Field Data, Business Analysis and AI 
  
  

Role Description

• This is a full-time, on-site role in Lagos for a detail-oriented and analytical professional. The Commercial Analyst will play a crucial part in the Commercial Planning & BI team, responsible for collecting, analyzing, and reporting on commercial data to support strategic decision-making. You will transform raw data into actionable insights related to sales performance, market trends, customer behaviour, and product uptake, helping to drive the commercial success of Lebara Nigeria.

Key Responsibilities

• Data Analysis: Analyze sales data, subscriber metrics, and market information to identify trends, challenges, and opportunities.


• Reporting: Develop and generate regular reports and dashboards on key commercial performance indicators (KPIs) for management.


• Performance Tracking: Monitor the performance of commercial initiatives, such as promotions and new product launches, and evaluate their impact.


• Market Intelligence: Support the team by gathering and analyzing competitor activities, pricing strategies, and market offers.


• Data Support: Provide ad-hoc data analysis and support to the Sales, Marketing, and Product teams to help them achieve their objectives.

Qualifications & Experience

• Education: A Bachelor's degree in Statistics, Economics, Business, Finance, or a related quantitative field.


• Experience: 2–4 years of experience in a data analysis, business analysis, or commercial analyst role, with experience in the telecommunications sector being a strong advantage.


• Skills:
  
  
  
  • Strong proficiency in Microsoft Excel (e.g., pivot tables, VLOOKUPs, modeling).
  
  
  • Experience with data visualization tools like Power BI or Tableau is highly desirable.
  
  
  • Basic knowledge of SQL for data querying is a plus.
  
  
  • Excellent analytical and quantitative skills with a high attention to detail.
  
  
  • Good communication skills with the ability to present data clearly.